MPEG-21 UD: a solution for horizontal integration of media recommendation systems

Metta, S.; Montagnuolo, Maurizio; Messina, Alberto

doi:10.1049/ibc.2015.0002

Cited by 2 publications

(1 citation statement)

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“…User preferences could be modeled using the MPEG-21 (Metta,S., Montagnuolo,M. & Messina,A., 2015) standard, which defines a framework for both multimedia resources and user preferencesmanipulation.MPEG-21usesthearchitecturalconceptoftheDigitalItem(DI),which is a combination of resources (such as audiovisual content), metadata (such as descriptors) and structuresdescribingtherelationshipsbetweenresources.DIsaredeclaredusingtheDigitalItem DeclarationLanguage(DIDL).TheMPEG-21DigitalItemAdaptation(DIA)architectureandthe MPEG-7 (Park,Hong,Lee&Lee,2014)MultimediaDescriptionSchemes(MDS)forcontentand servicepersonalizationprovideaUsageEnvironmentthatmodelsuserpreferences.Additionally, descriptionofthemultimediathatenrichesthe360 o videoisrequiredinordertheappropriatecontent toberetrievedandplacedincertainplacesintothevideo.Thisdescriptioncouldbeperformedusing theMPEG-7standard.…”

Section: Introductionmentioning

confidence: 99%

Personalized Real-Time Virtual Tours In Places With Cultural Interest

Skondras

Siountri

Michalas³

et al. 2019

International Journal of Computational Methods in Heritage Science

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Virtual tours using drones enhance the experience the users perceive from a place with cultural interest. Drones equipped with 360o cameras perform real-time video streaming of the cultural sites. The user preferences about each monument type should be considered in order to decide the appropriate flying route for the drone. This article describes a scheme for supporting personalized real-time virtual tours at sites with cultural interest using drones. The user preferences are modeled using the MPEG-21 and the MPEG-7 standards, while Web Ontology Language (OWL) ontologies are used for metadata structure and semantics. The Metadata-Aware Analytic Network Process (MANP) algorithm is proposed in order to weigh the user preferences for each monument type. Subsequently, the Trapezoidal Fuzzy Topsis for Heritage Route Selection (TFT-HRS) algorithm ranks the candidate heritage routes. Finally, after each virtual tour, the user preferences metadata are updated in order in order the scheme to continuously learn about the user preferences.

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Section: Introductionmentioning

confidence: 99%